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A method for detecting ionospheric disturbances and estimating their propagation speed and direction using a large GPS network

机译:一种使用大型GPS网络检测电离层干扰并估算其传播速度和方向的方法

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摘要

A technique is developed for detecting short period (3-10 min) ionospheric disturbances and estimating their propagation speed and direction using data from a large GPS network (a hundred or more receivers). This method increases the signal-to-noise ratio of small signals and could be applied, autonomously, to process a large set of data for the study of the potential signal sources and statistical distributions of these disturbances. The integral electron content (IEC) for every satellite-station pair in the network is extracted from dual frequency phase data. These IEC time series are then band-pass-filtered and cross-correlated with each other. The resulting correlation power is an indication of the presence of a common disturbance recorded at the two stations, and the delay to the maximum correlation is a measurement of the propagation time between the ionospheric pierce points of the respective stations. A threshold on correlation power is used to select a subset of these delay measurements. The velocity of the detected perturbation is then estimated by fitting a two-dimensional plane wave model to this subset of measurements. A technique is developed to remove the effects of time-varying satellite motion and to reconstruct the waveform that would have been observed at a fixed point within the ionosphere. Consistency of the resulting velocity estimates is checked using a stacking-alignment method and a time-distance mapping that accounts for the motion of the GPS satellites. The sensitivity of the velocity estimate to both the assumed height of a thin-layer ionosphere and the detection threshold value is studied. A simulation is used to demonstrate the IEC waveform distortion due to satellite motion, and an example is shown in which this distortion is able to shift the dominant frequencies of an actual disturbance outside of the passband of the filter, thereby preventing detection. Four weeks of data, in different seasons, collected using the Southern California Integrated GPS Network (SCIGN), were processed. Over the total of 28 days, 127 significant disturbances were detected, most with horizontal propagation speeds between 50-1000 m/s and westward directions of propagation. A few cases with exceptionally high speed ( > 2000 m/s) were observed. It is hypothesized that these are manifestations of disturbances that occur simultaneously throughout the ionosphere, rather than traveling waves. The rate of occurrence of disturbances in the 3-10 min band was found to be larger than expected. Observational biases of this method are discussed.
机译:开发了一种技术,用于检测短期(3-10分钟)的电离层扰动,并使用来自大型GPS网络(一百个或更多接收器)的数据来估计其传播速度和方向。这种方法增加了小信号的信噪比,可以自动应用于处理大量数据,以研究潜在的信号源和这些干扰的统计分布。从双频相位数据中提取网络中每个卫星站对的积分电子含量(IEC)。然后将这些IEC时间序列进行带通滤波并相互交叉关联。所产生的相关功率表示在两个站处记录的共同干扰的存在,到最大相关性的延迟是各个站电离层穿刺点之间传播时间的量度。相关功率的阈值用于选择这些延迟测量的子集。然后通过将二维平面波模型拟合到该测量子集来估计检测到的扰动的速度。开发了一种技术,以消除随时间变化的卫星运动的影响,并重建在电离层内固定点观察到的波形。使用堆叠对齐方法和考虑GPS卫星运动的时距映射来检查所得速度估计的一致性。研究了速度估计对假设的薄层电离层高度和检测阈值的敏感性。使用仿真来演示由于卫星运动引起的IEC波形失真,并显示了一个示例,其中该失真能够将实际干扰的主频移到滤波器的通带之外,从而阻止检测。使用南加州综合GPS网络(SCIGN)收集了不同季节的四个星期的数据。在总共28天中,检测到127个重大扰动,大多数扰动的水平传播速度在50-1000 m / s和向西传播方向之间。观察到一些极高速度(> 2000 m / s)的情况。假设这些是在电离层中同时发生的干扰的表现,而不是行波。发现3-10分钟频段内的干扰发生率比预期的要大。讨论了这种方法的观测偏差。

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